Electrochemical Window of the Li-Ion Solid Electrolyte Li7 La3 Zr2 O12 T Thompson, S Yu, L Williams, RD Schmidt, R Garcia-Mendez, ... ACS Energy Letters 2 (2), 462-468, 2017 | 336 | 2017 |
Alloy-Free Band Gap Tuning across the Visible Spectrum RA Makin, K York, SM Durbin, N Senabulya, J Mathis, R Clarke, ... Physical Review Letters 122 (25), 256403, 2019 | 55 | 2019 |
Magnetic frustration control through tunable stereochemically driven disorder in entropy-stabilized oxides PB Meisenheimer, LD Williams, SH Sung, J Gim, P Shafer, GN Kotsonis, ... Physical Review Materials 3 (10), 104420, 2019 | 47 | 2019 |
Semiconducting High-Entropy Chalcogenide Alloys with Ambi-ionic Entropy Stabilization and Ambipolar Doping Z Deng, A Olvera, J Casamento, JS Lopez, L Williams, R Lu, G Shi, ... Chemistry of Materials 32 (14), 6070-6077, 2020 | 44 | 2020 |
Insights on the Synthesis, Crystal and Electronic Structures, and Optical and Thermoelectric Properties of Sr1–xSbxHfSe3 Orthorhombic Perovskite NA Moroz, C Bauer, L Williams, A Olvera, J Casamento, AA Page, ... Inorganic chemistry 57 (12), 7402-7411, 2018 | 33 | 2018 |
BInGaN alloys nearly lattice-matched to GaN for high-power high-efficiency visible LEDs L Williams, E Kioupakis Applied Physics Letters 111 (21), 2017 | 32 | 2017 |
Sustainable p-type copper selenide solar material with ultra-large absorption coefficient EM Chen, L Williams, A Olvera, C Zhang, M Zhang, G Shi, JT Heron, L Qi, ... Chemical Science 9 (24), 5405-5414, 2018 | 25 | 2018 |
FitSNAP: Atomistic machine learning with LAMMPS A Rohskopf, C Sievers, N Lubbers, MA Cusentino, J Goff, J Janssen, ... Journal of Open Source Software 8 (84), 5118, 2023 | 23 | 2023 |
Effects of local compositional and structural disorder on vacancy formation in entropy-stabilized oxides from first-principles S Chae, L Williams, J Lee, JT Heron, E Kioupakis npj Computational Materials 8 (1), 95, 2022 | 22 | 2022 |
Engineering new limits to magnetostriction through metastability in iron-gallium alloys PB Meisenheimer, RA Steinhardt, SH Sung, LD Williams, S Zhuang, ... Nature communications 12 (1), 2757, 2021 | 22 | 2021 |
Deep Learning Based Prediction of Perovskite Lattice Parameters from Hirshfeld Surface Fingerprints L Williams, A Mukherjee, K Rajan The Journal of Physical Chemistry Letters 11 (17), 7462-7468, 2020 | 21 | 2020 |
BAlGaN alloys nearly lattice-matched to AlN for efficient UV LEDs L Williams, E Kioupakis Applied Physics Letters 115 (23), 2019 | 15 | 2019 |
Quantum signatures for screening metavalent solids D Giri, L Williams, A Mukherjee, K Rajan The Journal of Chemical Physics 154 (12), 2021 | 11 | 2021 |
Monitoring the role of site chemistry on the formation energy of perovskites via deep learning analysis of Hirshfeld surfaces L Williams, A Mukherjee, A Dasgupta, K Rajan Journal of Materials Chemistry C 9 (34), 11153-11162, 2021 | 11 | 2021 |
Lattice-constant and band-gap tuning in wurtzite and zincblende BInGaN alloys K Greenman, L Williams, E Kioupakis Journal of Applied Physics 126 (5), 2019 | 8 | 2019 |
Machine Learning using local environment descriptors to predict new scintillator materials LD Williams, G Pilania Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2018 | 4 | 2018 |
Efficient data processing using tunable entropy-stabilized oxide memristors S Yoo, S Chae, T Chiang, M Webb, T Ma, H Paik, Y Park, L Williams, ... Nature Electronics, 1-9, 2024 | 3 | 2024 |
Machine Learning-Aided Property Prediction of Hybrid Organic–Inorganic Perovskites Using Hirshfeld Surface Representations of Crystal Structures L Williams, A Mukherjee, R Dongol, K Rajan The Journal of Physical Chemistry C 127 (24), 11672-11682, 2023 | 2 | 2023 |
Active learning for SNAP interatomic potentials via Bayesian predictive uncertainty L Williams, K Sargsyan, A Rohskopf, HN Najm Computational Materials Science 242, 113074, 2024 | | 2024 |
Active Learning of SNAP Potentials using Bayesian Uncertainty Estimation. L Williams, K Sargsyan, K Johnston, H Najm Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2022 | | 2022 |